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The geography of research and development activity in the U.S

Author

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  • Kristy Buzard
  • Gerald A. Carlino

Abstract

This study details the location patterns of R&D labs in the U.S., but it differs from past studies in a number of ways. First, rather than looking at the geographic concentration of manufacturing firms (e.g., Ellison and Glaeser, 1997; Rosenthal and Strange, 2001; and Duranton and Overman, 2005), the authors consider the spatial concentration of private R&D activity. Second, rather than focusing on the concentration of employment in a given industry, the authors look at the clustering of individual R&D labs by industry. Third, following Duranton and Overman (2005), the authors look for geographic clusters of labs that represent statistically significant departures from spatial randomness using simulation techniques. The authors find that R&D activity for most industries tends to be concentrated in the Northeast corridor, around the Great Lakes, in California's Bay Area, and in southern California. They argue that the high spatial concentration of R&D activity facilitates the exchange of ideas among firms and aids in the creation of new goods and new ways of producing existing goods. They run a regression of an Ellison and Glaeser (1997) style index measuring the spatial concentration of R&D labs on geographic proxies for knowledge spillovers and other characteristics and find evidence that localized knowledge spillovers are important for innovative activity.

Suggested Citation

  • Kristy Buzard & Gerald A. Carlino, 2009. "The geography of research and development activity in the U.S," Working Papers 09-16, Federal Reserve Bank of Philadelphia.
  • Handle: RePEc:fip:fedpwp:09-16
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    Cited by:

    1. Cui, Wenyue, 2025. "Shadow and spillover: The influence of neighboring innovative cities on regional innovation growth," China Economic Review, Elsevier, vol. 90(C).
    2. Carlino, Gerald & Kerr, William R., 2015. "Agglomeration and Innovation," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 349-404, Elsevier.
    3. Bergé, Laurent & Carayol, Nicolas & Roux, Pascale, 2018. "How do inventor networks affect urban invention?," Regional Science and Urban Economics, Elsevier, vol. 71(C), pages 137-162.
    4. Hamidi, Shima & Zandiatashbar, Ahoura & Bonakdar, Ahmad, 2019. "The relationship between regional compactness and regional innovation capacity (RIC): Empirical evidence from a national study," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 394-402.
    5. Carlino, Gerald & Kerr, William R., 2015. "Agglomeration and Innovation," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 349-404, Elsevier.
    6. Gerald A. Carlino & Jake Carr & Robert M. Hunt & Tony E. Smith, 2010. "The agglomeration of R&D labs," Working Papers 10-33, Federal Reserve Bank of Philadelphia.
    7. repec:spo:wpmain:info:hdl:2441/32ctbi8fbq8j5aom2j69qam6tf is not listed on IDEAS
    8. repec:bof:bofrdp:urn:nbn:fi:bof-201512111472 is not listed on IDEAS
    9. Benjamin Montmartin & Ludovic Dibiaggio & Lionel Nesta, 2018. "Regional Alignment and Productivity Growth," Sciences Po Economics Publications (main) halshs-01948337, HAL.
    10. Florian Seliger & Gaéran de Rassenfosse & Jan Kozak, 2019. "Geocoding of worldwide patent data," KOF Working papers 19-458, KOF Swiss Economic Institute, ETH Zurich.

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